A tool for investigative journalists that allows them to easily record and correlate information they find in online data repositories.
What it does
Untangld helps investigative journalists easily record and correlate information they find in online data repositories.
Currently, investigative journalists use rudimentary systems to record, organize and assess the data that they glean while researching stories online. Often, a journalist and his team are relegated to stacks of printouts, quickly assembled spreadsheets, or even hand-written notes.
Untangld helps solve these problems by enabling researchers to easily record relevant people, addresses and businesses in a database along with information about the relationships between these entities. Journalists can then simply sort through the information in the database to more quickly identify anomalies, conflicts of interests or relationships that require additional investigation.
The result is a clear and organized set of research data that can be shared between all members of the research team.
Untangld (now Untangled) is being developed further by the Knight Lab. Read about our work here .
Initial Concept: Larry Birnbaum and Rich Gordon
Student Team: Noah Liebman (computer science), Lee Fan (computer science), Gillian White (journalism), Gino Vicci Cicarella (journalism)
Faculty Guidance: Larry Birnbaum, Rich Gordon, and Kris Hammond (with assistance from Shawn O’Banion)